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Strong knowledge of anonymization techniques (e.g., data masking, pseudonymization) and encryption standards (e.g., AES, RSA) Their backing for our technology demonstrates their confidence in our progress, team, and vision and makes us one of the leading autonomous vehicle organizations in the industry.
$155,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Subsectors include Enterprise Software, Networking and Hardware, Communication Technologies, Technology Enabled Transportation, Consumer Internet, Digital Media & Interactive Entertainment, Semiconductors & Electronics, Omnicommerce, Business Services and Financial Technology & Payments.
$125,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Join a pioneering team focused on revolutionizing data-centric AI. As a Software Engineer (Full-Stack), you will develop innovative software systems to enhance data quality for various industries.
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Familiarity and interest in emerging technology such as Unmanned Aerial System (UAS) surveys and laser scanning are desirable. Collect survey data as required in accordance with industry and client specifications, scopes of work, work plans and directed by Survey Manager.
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AI technology is used to gather data only and does not replace human-based decision making in employment decisions. Cloud based data warehouse technologies (Snowflake, BigQuery, Databricks, etc.
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Working collaboratively with colleagues across CED, Curatorial, Information Technology, Marketing + Communications, Education and Community Engagement, and Visitor Experience, the Collections Information Manager is key in realizing museum-wide use, continued development, and stewardship of the CMS and its contents for collections stewardship, collections access, collections documentation, and dynamic public programming.
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Knowledge of data science, machine learning, and artificial intelligence is required. Knowledge of data science, artificial intelligence, and/or machine learning is required. You will dig into the minds of todays top practitioners in data science, artificial intelligence, and/or machine learning, to help them develop courses that are highly applicable, practical, and engaging.
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Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools.
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Quant UXRs vary in background and use skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields.
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PhD (or equivalent experience) in computational biology, bioinformatics, statistics, or other scientific field that has relevance to high-dimensional biological data; 2+ years’ experience (industry or academic) is preferred.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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We are looking for a Vice President, Information Technology to lead and build to our IT team and infrastructure through a critical growth stage. As the Vice President, Information Technology, you will develop and implement IT strategies for the secure and efficient operation of our enterprise applications, infrastructures, operational technology, and communication systems to meet the strategic and operational needs of the company.
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The Director, HR Technology will report to the VP, Human Resources. You will implement, maintain, and optimize our HR systems/tools, and build out our people analytics and reporting capabilities to enable scalable data-driven talent decisions.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$135,240 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Full Stack Engineer within our centralized data organization, you will play a pivotal role in developing applications for our large language model (LLM) projects. Our Data & Analytics team builds and manages the infrastructure that supports our data lake (Databricks), data pipelines (dbt), data ingestion (Fivetran & custom Python scripts), and data visualizations (Looker/Hex.
$263,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In order to achieve net zero energy and net zero carbon, SFO actively tracks and aggregates utilities (e.g. water, gas, electricity), greenhouse gas emissions (GHG), and advanced energy asset performance data, among other data, in support of a decarbonized future.
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technology data jobs Title: engineer android software in San Francisco, CA
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